Analytics

A new study examined past vaccine uptake rates for flu and H1N1, and found that inoculation efforts fell short. The feds must help bridge that gap, "particularly for high-risk populations and communities of color," said former ONC chief David Blumenthal.

The New York health system has made AI and automation central to its mission, embedding algorithms into a wide array of workflows to target dozens of improvement initiatives.

Healthcare organizations in Asia Pacific are looking to further leverage technology to improve healthcare systems and operations, as well as explore new models of care outside of hospital walls.

The international quality standard demonstrates the use of technology, data and analytics to support inpatient care. 

Jonathan Weiner, professor at Johns Hopkins Bloomberg School of Public Health, details the data fundamentals that are necessary for effective AI and machine learning algorithms.

From genetic sequencing to symptom tracking to vaccine development, machine learning algorithms have been instrumental in helping uncover hidden clues about the novel coronavirus, says Cris Ross.

A new Science report highlights inconsistencies between HHS Protect's information and that from other sources, such as state public health agencies.

Health leaders contemplate the key features of a strong, data-driven response to a health crisis at the HIMSS & Health 2.0 Middle East Digital Event.

A recent JAMIA study found that Epic, Cerner and Allscripts make EHR use measures available in a platform to clients – but athenahealth, eClinicalWorks and NextGen have not.

The codes have been made available prior to the public roll out of the vaccines in order to facilitate better tracking, reporting and analysis on electronic health care systems. This aims to support data-driven planning and allocation.